贵州民族自治地方的贫困影响因素分析  

Analysis of Factors Influencing the Poverty in Guizhou Ethnic Autonomous Regions

作　　者：万力[1] 刘妍珺[1] 马赞甫[1] 

机构地区：[1]贵州财经大学,贵州贵阳550025

出　　处：《贵州民族研究》2015年第10期147-150,共4页Guizhou Ethnic Studies

基　　金：贵州省人文社科基金(13GZQN31);贵州省科技厅贵州财经大学2013年度软科学联合基金计划项目(黔科合体R字[2013]LKC2005号);教育部人文社科基金项目(12YJC790140)

摘　　要：民族地方反贫困有赖于贫困相关影响因素分析。本项研究以DEA方法测度了2012年度贵州省88个县域单位的宏观经济运行绩效,进而采用TOBIT模型考察了农民人均收入、人均耕地面积、交通状况、城镇化水平、技术效率、纯技术效率、规模效率等对贵州省民族自治地方贫困发生率的影响。结果表明,人均耕地面积、城镇化水平、纯技术效率、规模效率对贫困发生率有显著性影响。在此基础上,演绎了民族自治地方反贫困的相关对策与举措。Poverty alleviation in Guizhou ethnic autonomous regious depended on the analysis of factors influencing thepoverty. In this study, Data Envelopment Analysis （DEA） was employed to measure the economy efficiency inGuizhou in 2012. In addition, the research developed a TOBIT model to analyze the impact on the Guizhou local impoverishment rate. The model focused on the following index： farmer＇ s per capita income, the area of farmland per capita, traffic condition, urbanization level, technical efficiency, pure technical efficiency, and scale efficiency. As the result, the area of farmland per capita, urbanization level, pure technical efficiency and scale efficiency have a huge impact on impoverishment rate. Futhermore, the research presented policies and methods in poverty alleviation.

关 键 词：民族自治地方 贫困 数据包络分析 TOBIT模型 

分 类 号：F124.7[经济管理—世界经济]